• MATTA MADUMITHA
• Mr.P.J. Santhosh Kumar M

With this Python project, we will be making a drowsiness detection system. A countless number of trains work by loco pilots in day and night shifts. Loco pilots travelling long-distance suffer from lack of sleep. Due to which it becomes very dangerous to drive when feeling sleepy. The majority of accidents happen due to the drowsiness of the driver. So, to prevent these accidents I build a system using Python, OpenCV, Tkinter and Keras which will alert the driver when he feels sleepy and also if the driver doesn’t come to consciousness the automatic break system will activate and then the train will stop. Drowsiness detection is a safety technology that can prevent accidents that are caused by drivers who fell asleep while driving. By connecting it to the hardware device or by using IoT we can monitor the person 24/7. So as a human that person may feel sleepy at times even though with multiple shifts and may also be ill and feel sleepy. So this may be avoided with my project work. By this they may get awake and continue their work. And also by removing the breaking system activation this project can be used to detect heavy vehicle drivers, Employees in offices, and Students during Online classes and online exams.

Python, Machine Learning, Image Processing, Keras, Opencv

"MODEL ON DROWSINESS DETECTION FOR LOCO PILOTS USING MACHING LEARNING", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 6, page no.a368-a372, June-2022, Available :http://www.jetir.org/papers/JETIR2206041.pdf

"MODEL ON DROWSINESS DETECTION FOR LOCO PILOTS USING MACHING LEARNING", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 6, page no. ppa368-a372, June-2022, Available at : http://www.jetir.org/papers/JETIR2206041.pdf